Chapter 7
Validation of the Measurement
Procedure
Information versus disinformation
The primary objective of chemical measurements is to obtain information about the
qualitative and quantitative composition of the object. The paramount requirement
is, in this case, the reliability of the information so that the results are suitable for
a given purpose of measurement. The results that are not correct (reliable) cause
disinformation and consequently may lead to the wrong decisions being made.
Therefore, the essential part of the of the selection of the analytical procedure is the
unambiguous definition of the objective. In addition, it is also necessary to assess
how the chosen measurement procedure is suited to the intended use of the results.
In order to compare the commonly used feature of the analytical procedures, several
parameters expressed in numerical form are used.
The purpose of measurement is to obtain reliable results, and this objective can
be met when the analytical procedure used has been subjected to a process of
validation. The primary task of validation is to ensure that the entire measuring
process takes place as planned, and that the results are reliable and accurate.
Validation is the process of assessing the analytical performance of the measurement procedure and the compliance of the measurement procedure with the set
requirements. The validation includes the determination of the relevant characteristics of the measurement procedure (e.g., accuracy, repeatability) and whether they
are fit for the purpose of analyzing the laboratory’s samples (e.g., recovery, uncertainty). The validation also includes the measurement instrumentation, the software
of the instrument, the process of sample preparation, the process of data evaluation
and the competences of the analyst (i.e. staff).
Validation is the process towards ensuring that the measuring procedure is suitable for the intended purpose, which also confirms that we know and understand the
© Springer Nature Switzerland AG 2018
E. Bulska, Metrology in Chemistry, Lecture Notes in Chemistry 101,
https://doi.org/10.1007/978-3-319-99206-8_7
87
Validation of the Measurement
Procedure
Information versus disinformation
The primary objective of chemical measurements is to obtain information about the
qualitative and quantitative composition of the object. The paramount requirement
is, in this case, the reliability of the information so that the results are suitable for
a given purpose of measurement. The results that are not correct (reliable) cause
disinformation and consequently may lead to the wrong decisions being made.
Therefore, the essential part of the of the selection of the analytical procedure is the
unambiguous definition of the objective. In addition, it is also necessary to assess
how the chosen measurement procedure is suited to the intended use of the results.
In order to compare the commonly used feature of the analytical procedures, several
parameters expressed in numerical form are used.
The purpose of measurement is to obtain reliable results, and this objective can
be met when the analytical procedure used has been subjected to a process of
validation. The primary task of validation is to ensure that the entire measuring
process takes place as planned, and that the results are reliable and accurate.
Validation is the process of assessing the analytical performance of the measurement procedure and the compliance of the measurement procedure with the set
requirements. The validation includes the determination of the relevant characteristics of the measurement procedure (e.g., accuracy, repeatability) and whether they
are fit for the purpose of analyzing the laboratory’s samples (e.g., recovery, uncertainty). The validation also includes the measurement instrumentation, the software
of the instrument, the process of sample preparation, the process of data evaluation
and the competences of the analyst (i.e. staff).
Validation is the process towards ensuring that the measuring procedure is suitable for the intended purpose, which also confirms that we know and understand the
© Springer Nature Switzerland AG 2018
E. Bulska, Metrology in Chemistry, Lecture Notes in Chemistry 101,
https://doi.org/10.1007/978-3-319-99206-8_7
87